Regularized Training of Intermediate Layers for Generative Models for Inverse Problems

Sean Gunn, Jorio Cocola, Paul Hand

Generative Adversarial Networks (GANs) have been shown to be powerful and flexible priors when solving inverse problems. One challenge of using them is overcoming representation er…